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With iOS 17.5.1, the iPhone 15 Pro Max scored 6249 on Geekbench for neural engine processing. After updating to iOS 18, the same test yielded a score of 7816. The iPhone 15 Pro Max was already a beast, but with iOS 18, the NPU shows remarkable gains read more
 "Apple’s iOS 18 gives iPhone 15 Pro Max a major boost in AI Neural processing")
While raw scores and specifications don’t always directly translate to real-world performance, these results clearly indicate that iOS 18 optimizes the neural engine cores more effectively than iOS 17. Image Credit: Firstpost | Mehul Reuben Das
Recent Geekbench results indicate a significant increase in Machine Learning performance for the iPhone 15 Pro Max when comparing iOS 17 to iOS 18, even in its beta phase. The iPhone 15 Pro Max was already a notable improvement over its predecessor, but with iOS 18, the Neural Processing Unit (NPU) shows remarkable gains.
A thread on X/Twitter highlighted these impressive figures, which are supported by multiple results on Geekbench’s website. With iOS 17.5.1, the iPhone 15 Pro Max scored 6249 on Geekbench for neural engine processing. After updating to iOS 18, the same test yielded a score of 7816, marking a substantial improvement.
After iOS 18 update,
Geekbench machine learning score has greatly improved
(CoreML / Neural Engine Backend) pic.twitter.com/23cZm4qYCI
While raw scores and specifications don’t always directly translate to real-world performance, these results clearly indicate that iOS 18 optimizes the neural engine cores more effectively than iOS 17. This optimization can enhance various machine learning tasks, potentially leading to faster and more efficient performance in applications that rely heavily on AI and machine learning.
Additionally, the improvement is even more pronounced in specific text classification tests conducted on Geekbench. In these tests, updating to iOS 18 resulted in a performance boost of up to 1,000 per cent, showcasing the dramatic impact of the new operating system on the iPhone’s machine-learning capabilities.
These findings underscore Apple’s commitment to advancing machine learning performance and optimizing its hardware through software updates, offering users enhanced functionality and speed in AI-driven applications.
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